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IJCAI
2003
13 years 6 months ago
Continuous nonlinear dimensionality reduction by kernel Eigenmaps
We equate nonlinear dimensionality reduction (NLDR) to graph embedding with side information about the vertices, and derive a solution to either problem in the form of a kernel-ba...
Matthew Brand
BMCBI
2010
118views more  BMCBI 2010»
13 years 5 months ago
Walk-weighted subsequence kernels for protein-protein interaction extraction
Background: The construction of interaction networks between proteins is central to understanding the underlying biological processes. However, since many useful relations are exc...
Seonho Kim, Juntae Yoon, Jihoon Yang, Seog Park
COMCOM
2002
120views more  COMCOM 2002»
13 years 5 months ago
The Cyclone Server Architecture: streamlining delivery of popular content
Abstract-We propose a new webserver architecture optimized for delivery of large, popular files. Delivery of such files currently pose a scalability problem for conventional conten...
Stanislav Rost, John W. Byers, Azer Bestavros
SCALESPACE
2005
Springer
13 years 10 months ago
Relations Between Higher Order TV Regularization and Support Vector Regression
We study the connection between higher order total variation (TV) regularization and support vector regression (SVR) with spline kernels in a one-dimensional discrete setting. We p...
Gabriele Steidl, Stephan Didas, Julia Neumann
PAMI
2012
11 years 7 months ago
A Least-Squares Framework for Component Analysis
— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...
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